Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network

• Main Authors: Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.
• Format: Article
• Published: IOS Press 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030116670&doi=10.3233%2fJIN-170016&partnerID=40&md5=476b375377b777623635f500c804f856; http://eprints.utp.edu.my/19834/

Decoding of human brain activity has always been a primary goal in neuroscience especially with functional magnetic resonance imaging (fMRI) data. In recent years, Convolutional neural network (CNN) has become a popular method for the extraction of features due to its higher accuracy, however it nee...